A Friendly Guide to Data Science: Everything You Should Know about the Hottest Field in Tech
暫譯: 數據科學友善指南：你應該知道的科技熱點領域一切事宜

Name: A Friendly Guide to Data Science: Everything You Should Know about the Hottest Field in Tech
Price: 1349 TWD
Availability: PreOrder
Author: Vincent, Kelly P.
ISBN: 9798868811685

Vincent, Kelly P.

出版商: Apress
出版日期: 2025-07-27
售價: $1,420
貴賓價: 9.5 折 $1,349
語言: 英文
頁數: 512
裝訂: Quality Paper - also called trade paper
ISBN: 9798868811685
ISBN-13: 9798868811685
相關分類: Data Science

尚未上市，無法訂購

商品描述

What is data and how does it fit into data science? What does the field of data science cover? What is data analysis and what skills are involved? What does data analytics refer to in the context of data analysis and data science?

Data science involves far more than pulling data out of a database and running machine learning. This book teaches you what data science can and cannot do. You also will learn the importance of ethics, security, and privacy considerations. And you will understand the many steps in a data science project and how the project life cycle works.

Data science is an important field that's here to stay, especially as artificial intelligence (AI) and data become part of the everyday conversation in modern society for both their positive and negative impacts. This book's focus on laying strong foundations makes it highly accessible to anyone interested in taking part in the data science revolution, even if they don't yet have programming or business experience. It's perfect for undergraduate and graduate students in data science programs as well as for business leaders and potential career-changers in need of an inviting way into the field.

What You Will Learn

Know what foundational statistics is and how it matters in data analysis and data science Understand the data science project life cycle and how to manage a data science project Examine the ethics of working with data and its use in data analysis and data science Understand the foundations of data security and privacy Collect, store, prepare, visualize, and present data Identify the many types of machine learning and know how to gauge performance Prepare for and find a career in data science

Who This Book is for

Undergraduates in the early semesters of their data science degrees (as it assumes no industry or programming experience); professionals (the practitioner interviews will be helpful); business leaders who want to understand what data science can do for them and the data science work being done by their teams; and career changers who want to get a good foundational understanding of the field before committing to other learning paths such as degrees or boot camps

商品描述(中文翻譯)

什麼是數據，數據在數據科學中扮演什麼角色？數據科學這個領域涵蓋了什麼？什麼是數據分析，涉及哪些技能？在數據分析和數據科學的背景下，數據分析指的是什麼？

數據科學的範疇遠不止於從數據庫中提取數據並運行機器學習。本書將教你數據科學能做什麼以及不能做什麼。你還將學習倫理、安全和隱私考量的重要性。你將了解數據科學項目的多個步驟以及項目生命週期的運作方式。

數據科學是一個重要的領域，將持續存在，特別是隨著人工智慧（AI）和數據成為現代社會日常對話的一部分，無論是其正面還是負面影響。本書專注於打下堅實的基礎，使任何有興趣參與數據科學革命的人都能輕鬆接觸，即使他們尚未具備編程或商業經驗。這本書非常適合數據科學課程的本科生和研究生，以及希望以友好的方式進入該領域的商業領導者和潛在的職業轉換者。

你將學到的內容：
- 知道基礎統計是什麼，以及它在數據分析和數據科學中的重要性
- 了解數據科學項目生命週期以及如何管理數據科學項目
- 檢視與數據相關的倫理及其在數據分析和數據科學中的應用
- 了解數據安全和隱私的基礎
- 收集、儲存、準備、視覺化和呈現數據
- 確認多種機器學習類型並了解如何評估性能
- 為數據科學職業做好準備並尋找相關工作

本書的讀者對象：
- 正在數據科學學位早期學期的本科生（因為本書假設沒有行業或編程經驗）
- 專業人士（從實踐者的訪談中將獲益）
- 希望了解數據科學能為他們做什麼以及他們團隊正在進行的數據科學工作的商業領導者
- 希望在承諾其他學習路徑（如學位或訓練營）之前，對該領域有良好基礎理解的職業轉換者

作者簡介

Kelly P. Vincent is a data nerd. As soon as they saw their first spreadsheet, they knew they had to fill it with data and figure out how to analyze it. After doing software engineering work in data science and natural language processing spaces, Kelly landed their dream job--data scientist--at a Fortune 500 company in 2017, before moving on in 2022 to another Fortune 500 company. They have specialized in the at-first-barely-used programming language Python for nearly 20 years. Kelly has a BA degree in Mathematical Sciences, an MSc degree in Speech and Language Processing, and an MS degree in Information Systems. Kelly is also in the Doctor of Technology program at Purdue University. They keep their skills up to date with continuing education. They have worked in many different industries that have given them a range of domain knowledge, including education, bioinformatics, microfinancing, B2B tech, and retail.

Kelly hasn't let their love of data and programming get in the way of their other love--writing. They're a novelist in multiple genres and have won several awards for their novels. Kelly considered how they could combine writing and data science, and finally spotted an untapped market with the growth of undergraduate data science and analytics degrees.

As soon as they saw their first spreadsheet, they knew they had to fill it with data and figure out how to analyze it. After doing software engineering work in data science and natural language processing spaces, Kelly landed their dream job--data scientist--at a Fortune 500 company in 2017, before moving on in 2022 to another Fortune 500 company. They have specialized in the at-first-barely-used programming language Python for nearly 20 years. Kelly has a BA degree in Mathematical Sciences, an MSc degree in Speech and Language Processing, and an MS degree in Information Systems. Kelly is also in the Doctor of Technology program at Purdue University. They keep their skills up to date with continuing education. They have worked in many different industries that have given them a range of domain knowledge, including education, bioinformatics, microfinancing, B2B tech, and retail. Kelly is also in the Doctor of Technology program at Purdue University.

作者簡介(中文翻譯)

Kelly P. Vincent 是一位數據迷。當他們第一次看到電子表格時，就知道必須用數據填滿它並找出如何分析這些數據。在數據科學和自然語言處理領域從事軟體工程工作後，Kelly 在2017年獲得了夢想中的工作——數據科學家，並於2022年轉職至另一家《財富》500強公司。他們專注於最初幾乎不被使用的程式語言 Python，已有近20年的經驗。Kelly 擁有數學科學的學士學位、語音與語言處理的碩士學位，以及資訊系統的碩士學位。Kelly 目前也在普渡大學的技術博士課程中。他們透過持續教育保持技能的更新。他們曾在許多不同的行業工作，獲得了廣泛的領域知識，包括教育、生物資訊學、小額貸款、B2B科技和零售。

Kelly 並沒有讓對數據和程式設計的熱愛妨礙他們對寫作的另一份熱愛。他們是多個類型的小說家，並因其小說獲得了幾個獎項。Kelly 考慮如何將寫作與數據科學結合，最終發現隨著本科數據科學和分析學位的增長，出現了一個尚未開發的市場。